Sarcolemmal fatty acid uptake vs. mitochondrial β-oxidation as target to regress cardiac insulin resistanceThis paper is one of a selection of papers published in this Special Issue, entitled 14th International Biochemistry of Exercise Conference – Muscles as Molecular and Metabolic Machines, and has undergone the Journal’s usual peer review process.
Bibliographic record
Abstract
Cardiomyopathy and heart failure are frequent comorbid conditions in type-2 diabetic patients. However, it has become increasingly evident that insulin resistance, type-2 diabetes, and cardiomyopathy are not independent variables, and are linked through changes in metabolism. Specifically, elevated intracellular levels of long-chain fatty acid (LCFA) metabolites are a central feature in the development of cardiac insulin resistance, and their prolonged accumulation is an important cause of heart failure. In the insulin-resistant heart, the abundance of the LCFA transporters CD36 and FABPpm at the sarcolemma of cardiac myocytes appears to be markedly increased. Because circulating LCFA levels are increased in insulin resistance, the cardiac LCFA metabolizing machinery is confronted with drastic increases in substrate supply. Indeed, LCFA esterification into triacylglycerol and other lipid intermediates is increased, as is beta-oxidation and reactive oxygen species production. Therapeutic strategies to normalize the cardiac LCFA flux would be most successful when the target is the rate-limiting step in cardiac LCFA utilization. Carnitine palmitoyltransferase (CPT)-I has long been considered to be this rate-limiting site and, accordingly, pharmacological inhibition of CPT-I, or beta-oxidation enzymes, has been proposed as an insulin-resistance-antagonizing strategy. However, recent evidence indicates that, instead, sarcolemmal LCFA transport mediated by CD36 in concert with FABPpm provides a major site of flux control. In this review, it is proposed that a pharmacologically imposed net internalization of CD36 and FABPpm is the preferable strategy to limit LCFA entry and accumulation of LCFA metabolites, to regress cardiac insulin resistance and, eventually, prevent diabetic heart failure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".